Natural language processing for smart construction: Current status and future directions

C Wu, X Li, Y Guo, J Wang, Z Ren, M Wang… - Automation in …, 2022 - Elsevier
Unstructured texts dominate data in construction projects. With the achievements of natural
language processing (NLP) techniques, mining unstructured text data for smart construction …

Applications of natural language processing in construction

Y Ding, J Ma, X Luo - Automation in Construction, 2022 - Elsevier
In the construction industry under “Industry 4.0”, Natural Language Processing (NLP) has
been widely used to process and analyze text data to achieve construction intelligence …

Digital twin and web-based virtual gaming technologies for online education: A case of construction management and engineering

SME Sepasgozar - Applied Sciences, 2020 - mdpi.com
Mixed reality is advancing exponentially in some innovative industries, including
manufacturing and aerospace. However, advanced applications of these technologies in …

Classification and analysis of deep learning applications in construction: A systematic literature review

R Khallaf, M Khallaf - Automation in construction, 2021 - Elsevier
In recent years, the construction industry has experienced an expansion in the multitude of
projects and emergent information. With the advent of deep learning, new opportunities …

Forecasting building energy consumption: Adaptive long-short term memory neural networks driven by genetic algorithm

XJ Luo, LO Oyedele - Advanced Engineering Informatics, 2021 - Elsevier
The real-world building can be regarded as a comprehensive energy engineering system;
its actual energy consumption depends on complex affecting factors, including various …

Text mining and natural language processing in construction

A Shamshiri, KR Ryu, JY Park - Automation in Construction, 2024 - Elsevier
Text mining (TM) and natural language processing (NLP) have stirred interest within the
construction field, as they offer enhanced capabilities for managing and analyzing text …

Deep learning-based construction equipment operators' mental fatigue classification using wearable EEG sensor data

I Mehmood, H Li, Y Qarout, W Umer, S Anwer… - Advanced Engineering …, 2023 - Elsevier
Operator attention failure due to mental fatigue during extended equipment operations is a
common cause of equipment-related accidents that result in catastrophic injuries and …

American sign language recognition and training method with recurrent neural network

CKM Lee, KKH Ng, CH Chen, HCW Lau… - Expert Systems with …, 2021 - Elsevier
Though American sign language (ASL) has gained recognition from the American society,
few ASL applications have been developed with educational purposes. Those designed …

Development of an image data set of construction machines for deep learning object detection

B Xiao, SC Kang - Journal of Computing in Civil Engineering, 2021 - ascelibrary.org
Deep learning object detection algorithms have proven their capacity to identify a variety of
objects from images and videos in near real-time speed. The construction industry can …

Pretrained domain-specific language model for natural language processing tasks in the AEC domain

Z Zheng, XZ Lu, KY Chen, YC Zhou, JR Lin - Computers in Industry, 2022 - Elsevier
As an essential task for the architecture, engineering, and construction (AEC) industry,
information processing and acquiring from unstructured textual data based on natural …